Past projects
Design and Analysis of Flexibility in Waste-to-Energy System
This research develops a number of new data-driven algorithms and digital processes to support the design of complex engineered systems under uncertainty.
One project proposes a probabilistic approach based on Engineering Systems Matrix to identify value-enhancing opportunities for flexibility in waste-to-energy systems.
Another project evaluates the trade-offs between economies of scale, time value of money, and flexibility.
The research proposes a novel data-driven decision-support system that enables better 3D visualisation, data analytics, and economics of the optimal solutions.
The work is done in collaboration with the National Environment Agency of Singapore, as part of the for Megacities, a collaboration between the National University of Singapore and Shanghai Jiao Tong University
Former Post-Doctoral Researchers
Dr. , now Scientist at University of Montreal
Dr. , now Associate Professor at Northwestern Polytechnic, China
Mingzhen Diao, now Business Analyst at ThoughtWorks
Former PhD Students
Dr. , now Assistant Professor at Shanghai Jiao Tong University
Dr. , now Senior Researcher at SenseTime
Dr. , now Lead Data Scientist at Tencent
Co-Supervisors
Dr. , Associate Professor in Industrial Systems Engineering and Management, National University of Singapore
Dr. , Assistant Professor of Management, Purdue University
Resilience in Energy and Transportation Systems
This research looks into the role of flexibility as a paradigm to enable better resilience in complex engineered systems.
This is highly needed given the important threats and uncertainty faced by these systems due to climate change, pandemics, and terrorism.
One project proposes a novel methodology combining principles from decision rule real options analysis and robust optimisation theory to general expansion planning of power plant systems integrating renewable sources. It received the 2019 Institute of Industrial and Systems Engineers Best Application paper in Design and Manufacturing.
Another project proposes a novel agent-based modeling methodology to analyse strategic, tactical, and operational level flexibility in a data-driven, simulation-based context for the New York City subway system
The work is part of the project, a collaboration between Singapore universities and ETH Zürich.
It aims to develop and evaluate new modeling and optimisation techniques to better support decision and policy making on deployment and operations of next generation energy and transportation systems.
Former Post-Doctoral Researchers
Dr. , now Lecturer in Business Analytics at University of Edinburgh Business School
Former PhD Students
Dr. , PhD in Mechanical and Process Engineering, ETH Zürich
Former Research Associate:
, now Research Associate at National University of Singapore
Co-Supervisor
Dr. , Associate Professor in Mechanical and Process Engineering, ETH Zürich
Strategic Engineering Laboratory
Contact Us
For further academic details, please contact m.cardin@imperial.ac.uk.
For PhD application inquiries, please check out this link.